This section describes four neural network architectures that we selected from the literature and evaluated on the distortion removal task. The evaluation covers the following models: CRAFx [1]}, Wave-U-Net [2]}, Open-Unmix [3]} and Demucs [4]}. The first one was designed for audio effect modeling, the others for music source separation. Additionally, we provide a brief description of our baseline for the declipping task, A-SPADE [5]}.
